The dynamic evolution of microgrids and, in general, of complex low-voltage electrical systems, makes it increasingly necessary to install effective monitoring systems capable of analyzing every aspect to ensure safety, stability and automation. Thus SCADA (Supervisory Control And Data Acquisition) systems are emerging with different characteristics and protocols but whose ultimate goal always remains centered on the analysis of power flows. The Digital Twin represents the best solution tool to manage the microgrids because it is built during the design process. It is based on a BIM (Building Information Modeling) approach for the digital 3D design of the microgrid and it follows the entire life cycle of the system. The purpose of this paper is to analyze to date the possibilities and the limitations of monitoring and supervision systems on the market, introducing our completely open-source alternative. Our monitoring system will be comparator to others and the innovative parts it brings compared to the state of the art will be highlighted. Then a case study will be presented where our supervision system is applied within a microgrid present in a university laboratory. Finally, scenarios in two opposite climatic situations (winter and summer) will be analyzed in order to evaluate the behavior of the system under the different conditions presented and proposing solutions for future software upgrades.

Digital twin of a LV microgrid with PV and storage based on an open source monitoring system and BIM model / Loggia, Riccardo; Flamini, Alessandro; Galasso, Alessandro; Massaccesi, Andrea; Menichelli, Roberto; Moscatiello, Cristina; Martirano, Luigi. - (2024), pp. 1-9. ( 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024 Phoenix, USA ) [10.1109/ias55788.2024.11023741].

Digital twin of a LV microgrid with PV and storage based on an open source monitoring system and BIM model

Loggia, Riccardo;Flamini, Alessandro;Galasso, Alessandro;Massaccesi, Andrea;Menichelli, Roberto;Moscatiello, Cristina;Martirano, Luigi
2024

Abstract

The dynamic evolution of microgrids and, in general, of complex low-voltage electrical systems, makes it increasingly necessary to install effective monitoring systems capable of analyzing every aspect to ensure safety, stability and automation. Thus SCADA (Supervisory Control And Data Acquisition) systems are emerging with different characteristics and protocols but whose ultimate goal always remains centered on the analysis of power flows. The Digital Twin represents the best solution tool to manage the microgrids because it is built during the design process. It is based on a BIM (Building Information Modeling) approach for the digital 3D design of the microgrid and it follows the entire life cycle of the system. The purpose of this paper is to analyze to date the possibilities and the limitations of monitoring and supervision systems on the market, introducing our completely open-source alternative. Our monitoring system will be comparator to others and the innovative parts it brings compared to the state of the art will be highlighted. Then a case study will be presented where our supervision system is applied within a microgrid present in a university laboratory. Finally, scenarios in two opposite climatic situations (winter and summer) will be analyzed in order to evaluate the behavior of the system under the different conditions presented and proposing solutions for future software upgrades.
2024
2024 IEEE Industry Applications Society Annual Meeting, IAS 2024
BIM; digital twin; GUI; HMI; LVAC; LVDC; microgrid; monitoring; SCADA
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Digital twin of a LV microgrid with PV and storage based on an open source monitoring system and BIM model / Loggia, Riccardo; Flamini, Alessandro; Galasso, Alessandro; Massaccesi, Andrea; Menichelli, Roberto; Moscatiello, Cristina; Martirano, Luigi. - (2024), pp. 1-9. ( 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024 Phoenix, USA ) [10.1109/ias55788.2024.11023741].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1742825
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